How Often Is Too Often to Message a Repeat Guest Anyway

Every extra message sent risks the next one getting ignored or opted out of entirely. Here is how to find a frequency that keeps working over time too.

A guest list is a limited resource in a specific sense: every message sent spends some of the guest's patience with that channel. Send too rarely and a vendor is invisible; send too often and a guest opts out or starts ignoring messages entirely, which costs future value the list could have delivered.

The Signs of Overmessaging

  • A rising opt-out rate over consecutive sends.
  • Falling open or click rates on messages that used to perform well.
  • Guests specifically mentioning feeling spammed, whether directly or in reviews.

Any single one of these on its own might just be noise, a slightly rougher week isn't necessarily a trend. Watched together across several consecutive sends, though, they form a pattern that's hard to miss: a channel getting quietly worn down, one message at a time, well before a guest ever bothers to formally opt out.

Finding a Reasonable Baseline

There's no universal number that works for every vendor, but a baseline of roughly one to two messages a month, reserved for genuinely relevant updates, tends to avoid fatigue while still keeping the vendor visible.

A vendor genuinely uncertain where to start can begin conservatively, closer to one message a month, and watch open and opt-out rates over the following few sends before considering an increase. It's far easier to add frequency once the data shows room for it than to win back a guest who already opted out from being messaged too often too soon.

This asymmetry is worth remembering whenever the temptation arises to message more often just because a specific promotion feels worth pushing. The downside of one message too many, a lost subscriber, tends to outweigh the upside of one extra send that might not have moved the needle much anyway.

Relevance Matters More Than Raw Count

  1. Send only messages a guest would plausibly want to receive, not filler content.
  2. Segment where possible, so a lapsed guest and a frequent one aren't getting identical messages.
  3. Watch opt-out and open rates directly rather than guessing at the right frequency.

A message tied to something a guest actually cares about, a seasonal item they've ordered before, a location update for a food truck, a reminder that hasn't been sent in months, tends to survive a higher frequency than the same volume of generic promotional content would. The guest's tolerance is really for irrelevance, not for the raw number of messages received.

Recovering After a Frequency Mistake

A vendor that notices opt-outs climbing after a burst of messages doesn't need to abandon the channel entirely, cutting back to a lower, more conservative frequency for a stretch, and sending only clearly relevant updates during that stretch, tends to rebuild trust with the remaining list over time. Guests who already opted out generally shouldn't be re-added without a fresh, explicit opt-in, since re-messaging someone who already opted out risks a second, more permanent disengagement.

Treating a rising opt-out rate as an early warning worth acting on immediately, rather than something to address only once it's already become a clear trend, tends to make the eventual recovery period considerably shorter.

How AUANI Handles This

AUANI's exportable guest list, included on every tier, gives a vendor direct ownership of this channel, so the vendor controls frequency and targeting directly rather than through a third-party platform's own rules.

That direct ownership matters specifically here, since a platform that owns the guest relationship might have its own incentives around messaging frequency that don't necessarily align with what's actually best for the vendor's own long-term guest relationships.

Owning the list also means a vendor can set its own frequency policy once and apply it consistently, rather than working around limits or defaults imposed by a third-party platform's own messaging rules.

Frequently Asked Questions

Is there an ideal universal messaging frequency?

No, it varies by vendor and audience, though roughly one to two relevant messages a month is a reasonable starting baseline.

Does SMS have a lower frequency tolerance than email?

Generally yes, guests tend to be less tolerant of frequent texts than frequent emails, given how directly SMS interrupts attention.

What's the first sign frequency has gone too high?

A rising opt-out rate or a noticeable drop in open and click rates on messages that previously performed well.

Should every guest get the same message at the same frequency?

Not ideally; segmenting by how recently or often a guest has ordered tends to perform better than one blanket frequency for everyone.

What is the wider guide this fits into?

The marketing & repeat orders guide covers this alongside channel choice and loyalty.

Should a guest who already opted out be messaged again later?

Generally no, without a fresh, explicit opt-in; re-messaging someone who already opted out risks permanently losing that guest as a contact.

For the wider picture on repeat orders, see the marketing & repeat orders guide.

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Is AUANI worth $300/mo?
Plug in your own numbers. Grounded in what you're actually paying today, not a best-case guess.
Free: 1 location, 10% fee — delivery, loyalty, POS sync, and reviews included, but no website, widget, or Google visibility tools. Monthly: $300/mo, 5% fee, everything unlocked at your first location. +Locations: $100/mo per added location — the moment you're at 2 or more, your fee drops to 3% across the whole account.
Total online orders / mo100
20300
Average order value$28
$10$80
Locations you run1
110
Current third-party commission27%
15%35%
Orders you could realistically shift direct30%
0%80%
Direct orders / mo
90
moved off marketplace apps
Commission kept / yr
$0
from orders going direct at 0%
Marketplace fee rate
10%
based on your location count
Plan cost / yr
$0
subscription, your locations
Total AUANI cost / yr
$0
plan cost plus marketplace fees
Net kept vs. today / yr
$0
vs. paying today's rate on every order

Baseline = all monthly orders × 12 × average order value × today's third-party rate.
Commission kept = direct orders × 12 × average order value × today's third-party rate (0% on these once your widget is unlocked).
Marketplace fee rate = 10% on Free; on Monthly, 5% at 1 location, dropping to 3% across the whole account the moment you add a 2nd (+Locations, $100/mo each).
Delivery, loyalty/POS sync, and reviews ship on every plan and don't change these numbers — only fee rate and plan cost do.
Net kept = baseline minus (plan cost + marketplace fees on remaining orders).

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